Package: transreg 1.0.2

Armin Rauschenberger

transreg: Penalised Regression with Multiple Sets of Prior Effects

Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette, install 'fwelnet' from 'GitHub' <https://github.com/kjytay/fwelnet>.

Authors:Armin Rauschenberger [aut, cre]

transreg_1.0.2.tar.gz
transreg_1.0.2.zip(r-4.5)transreg_1.0.2.zip(r-4.4)transreg_1.0.2.zip(r-4.3)
transreg_1.0.2.tgz(r-4.4-any)transreg_1.0.2.tgz(r-4.3-any)
transreg_1.0.2.tar.gz(r-4.5-noble)transreg_1.0.2.tar.gz(r-4.4-noble)
transreg_1.0.2.tgz(r-4.4-emscripten)transreg_1.0.2.tgz(r-4.3-emscripten)
transreg.pdf |transreg.html
transreg/json (API)
NEWS

# Install 'transreg' in R:
install.packages('transreg', repos = c('https://lcsb-bds.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lcsb-bds/transreg/issues

On CRAN:

1 exports 1.26 score 14 dependencies 4 scripts 221 downloads

Last updated 10 months agofrom:840945bd2a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winNOTESep 13 2024
R-4.5-linuxNOTESep 13 2024
R-4.4-winNOTESep 13 2024
R-4.4-macNOTESep 13 2024
R-4.3-winNOTESep 13 2024
R-4.3-macNOTESep 13 2024

Exports:transreg

Dependencies:codetoolscornetforeachglmnetiteratorsjoinetlatticeMatrixpalassoRcppRcppEigenshapestarnetsurvival

Abstract

Rendered fromabstract.Rmdusingknitr::knitron Sep 13 2024.

Last update: 2023-11-11
Started: 2022-12-19

Analysis

Rendered fromanalysis.Rmdusingknitr::knitron Sep 13 2024.

Last update: 2023-11-05
Started: 2022-11-11

Readme and manuals

Help Manual

Help pageTopics
Penalised regression with multiple sets of prior effectstransreg-package
Calculate residuals.residuals
Sign discovery.signdisc
Internal functions.exp.multiple .iso.fast.single .iso.multiple .iso.slow.single calibrate
Extract Coefficientscoef.transreg
Cross-validation (reproducibility)compare
Internal functions.coef.sim .coef.sta .predict.sim .predict.sta .weights.sim .weights.sta .which.stack extract
Fitted valuesfitted.transreg
Plot transreg-objectplot.transreg
Make Predictionspredict.transreg
Print transreg-objectprint.transreg
Simulation (reproducibility)simulate
Penalised regression with multiple sets of prior effectstransreg
Extract Weightsweights.transreg